{"instruction": "You are an expert in event extraction. Please extract events from the input that conform to the schema definition. Return an empty list for events that do not exist, and return NAN for arguments that do not exist. If an argument has multiple values, please return a list. Respond in the format of a JSON string.", "schema": [{"event_type": "patch vulnerability", "trigger": true, "arguments": ["vulnerability", "issues addressed", "time", "vulnerable system"]}, {"event_type": "ransom", "trigger": true, "arguments": ["price", "attacker", "tool", "time", "payment method", "place", "damage amount"]}, {"event_type": "discover vulnerability", "trigger": true, "arguments": ["capabilities", "vulnerable system version", "vulnerable system", "supported platform", "common vulnerabilities and exposures", "time", "vulnerable system owner", "discoverer"]}, {"event_type": "phishing", "trigger": true, "arguments": ["attack pattern", "tool", "victim", "damage amount", "attacker", "purpose", "trusted entity", "time", "place"]}], "input": "Staff are still falling for phishing scams , with social media friend requests and emails pretending to come from the HR department among the ones most likely to fool workers into handing over usernames and passwords ."}
{"patch vulnerability": [], "ransom": [], "discover vulnerability": [], "phishing": [{"trigger": "phishing scams", "arguments": {"attack pattern": "social media friend requests", "tool": "NAN", "victim": "Staff", "damage amount": "NAN", "attacker": "NAN", "purpose": "NAN", "trusted entity": "NAN", "time": "NAN", "place": "NAN"}}]}